Multistatic Radar Point Clouds for Vehicle Blind Spot Detection
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Solution Overview
Problem
Autonomous vehicles face challenges in detecting objects within their blind spots using radar systems, as these objects are not directly within the radar's field of view, leading to incomplete data collection and potential safety hazards.
Innovation Solution
The system employs vehicle-to-vehicle communication and data sharing to identify objects in blind spots by analyzing radar signals received from other vehicles, using identifiers and location information from GPS and other sources to enhance location resolution and accuracy, thereby integrating data from multiple radar systems to create a comprehensive point-cloud information set.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar systems use a single sensor with limited field of view, then device complexity is reduced, but detection coverage and measurement precision deteriorate due to blind spots
Solution Approach 1:
The patent combines radar signals from multiple vehicles to form a unified point cloud representation of the environment. By merging data from multiple radar sensors located at different positions, the system achieves comprehensive detection coverage that eliminates blind spots while maintaining manageable complexity through centralized processing.
Solution Approach 2:
The system enables radar sensors to serve multiple functions: each vehicle's radar not only detects objects in its own field of view but also contributes to detecting objects in other vehicles' blind spots. This multi-functional approach allows the same hardware to provide both local and global detection capabilities.
2Reliability
If multiple radar systems are integrated to eliminate blind spots, then detection coverage and reliability improve, but data processing complexity and computational requirements increase
Solution Approach 1:
The system creates a virtual copy of the environmental point cloud from multiple radar perspectives. By generating and fusing point cloud representations from different vehicle positions, the system achieves reliable detection of blind spot objects without requiring complex real-time coordination of multiple radar systems.
Solution Approach 2:
The patent introduces a centralized processing system that acts as an intermediary to receive, synchronize, and fuse radar data from multiple vehicles. This mediator coordinates the integration process, managing the complexity of combining multiple data streams while producing a unified detection output.
3Loss of information
If radar signals from multiple vehicles are combined, then object detection in blind spots improves, but signal processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of radar signals by pre-forming point cloud representations from individual vehicle radars before fusion. This preliminary organization of data from multiple sources enables more efficient subsequent processing and reduces the computational burden during real-time blind spot detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the identification and tracking of objects in blind spots, improving the overall detection capabilities of autonomous vehicles and enhancing safety by providing a more accurate and complete picture of the vehicle's surroundings.
Implementation Method 1
A radar device may transmit a radar signal and receive reflected radar signals
Implementation Method 2
The received radar signals may include vehicle-to-vehicle communication data
Data Source
AI summary
Methods and apparatus disclosed within provide a solution to problems associated with objects located in a blind spot of a radar apparatus of a first vehicle. An identifier included a set of received radar signals may be extracted from the received radar signals to identify a radar device of a second vehicle. Information may then be received that identifies a location of the second vehicle. This received information may also include operational characteristics of the received radar signals. Evaluations may then be performed on the received radar signals using the received information such that a location of an object located in the blind spot of the radar apparatus may be identified. Data associated with the object may then be stored in a set of radar detection data that that also includes locations of other objects that were detected by direct observations made by the radar apparatus of the first vehicle.